create_dl_preprocess_param ('anomaly_detection', ImageWidth, ImageHeight,3, [], [],'constant_values','full_domain', [], [], [], [], DLPreprocessParam) preprocess_dl_dataset (DLDataset, OutputDir, DLPreprocessParam, PreprocessSettings, DLDatasetFileName)* *获取样本集DLDataset中的样本 ge...
create_dl_preprocess_param ('segmentation', ImageWidth, ImageHeight, ImageNumChannels, ImageRangeMin, ImageRangeMax, NormalizationType, DomainHandling, [], [], [], [], DLPreprocessParam) 1. 2. 3. 4. 5. 6. 7. 4.预现实标注效果 此功能不是必须的 if(ShowExample) get_dict_tuple (DLDatas...
可以使用create_dl_preprocess_param函数将所有参数及其值存储在一个DLPreprocessParam字典中。我们建议将这个字典保存为DLPreprocessParam,以便以后在推断阶段能够访问预处理参数值。在数据集的预处理过程中,也会通过preprocess_dl_dataset为训练数据集生成图像weight_image。它们为每个类分配其像素在训练期间获得的权重(“类...
create_dl_preprocess_param('classification',ImageWidth,ImageHeight,ImageNumChannels,-127,128,NormalizationType,DomainHandling,[],[],[],[],DLPreprocessParam)*Dataset directoryforany outputs writtenbypreprocess_dl_dataset.DataDirectory:=DataDirectoryBaseName*Preprocess the dataset.This might take afewseconds...
先从模型中获取预处理参数,例程中使用了自定义函数create_dl_preprocess_param_from_model从深度学习网络中提取预处理参数,如: 'type' 'image_width' 'image_height' 'image_num_channels' 'image_range_min' 'image_range_max' 'ignore_class_ids'
HalconHelper.create_dl_preprocess_param_from_model(hv_DLModelHandle, "false", "full_domain", new HTuple(), new HTuple(), new HTuple(), out hv_DLPreprocessParam); HOperatorSet.QueryAvailableDlDevices("runtime", "cpu", out hv_DLDeviceHandles); HOperatorSet.SetDlModelParam(hv_DLModel...
create_dl_preprocess_param_from_model(DLModelHandle,'none','full_domain', [], [], [], DLPreprocessParam) create_dict(PreprocessSettings) set_dict_tuple(PreprocessSettings,'overwrite_files',true) preprocess_dl_dataset(DLDataSet, OutputDir, DLPreprocessParam, PreprocessSettings, DLDatasetFileName)...
set_dl_model_param (DLModelHandle, 'device', DLDevice) *设置预处理参数 * Set preprocessing parameters and preprocess the dataset. create_dl_preprocess_param_from_model (DLModelHandle, 'constant_values', 'full_domain', [], [], [], DLPreprocessParam) *PreprocessSettings := dict{overwrite_...
get_dl_model_param or the procedure create_dl_preprocess_param_from_model. Set the model parameter described in the section “Model Parameters and Hyperparameters” below, using the operator set_dl_model_param. The 'batch_size' can be generally set independently from the number of image...
create_dl_preprocess_param_from_model. We recommend to save this dictionary DLPreprocessParam in order to have access to the preprocessing parameter values later during the inference phase. Training of the model This part explains how to train the recognition component of a Deep OCR model. ...